Statistical Analysis Using Excel LiveLessons

Statistical Analysis Using Excel LiveLessons is the world’s first complete video training course of its kind on the topic

Bestselling author and trainer Conrad Carlberg provides the novice with 7+ hours of hands-on step-by-step video training on the fundamentals of statistical analysis. These videos make the concepts concrete using Excel charts, tools, and functions. Statistical analysis takes two main forms: descriptive statistics and inferential statistics. Descriptive statistics provide numbers that describe how values cluster together (averages), disperse (standard deviations), and vary together (correlations). Inferential statistics informs us regarding the probability that the descriptive statistics that we calculate from samples are accurate estimators of the populations from which we took the samples. These techniques are well worked out in theory and in applications such as Microsoft Excel. They have applicability in fields as diverse as politics and sports, as economics and agriculture, as psychology and business management, as achievement testing and manufacturing. This training on statistical analysis is designed to provide conceptual overviews of topics such as testing the reliability of the difference between the means of a treatment group and a control group, followed by demonstrations of how to handle the topic in Excel. Topics such as statistical power are crucial to understanding inferential analysis but history shows that they are very difficult to communicate through text. By using auditory explanations in combination with Excel's powerful charting capabilities, it's possible to communicate these abstract notions in a concrete fashion.

Part I: About Excel and Statistical Analysis

Accuracy of functions

Appropriate use of statistical functions

Overview of the Data Analysis Add-in

Part II: Using Excel one variable at a time

Central Tendency 1

Central Tendency 2

Variability 1

Variability 2

Variability 3

Array formulas using statistical functions

Array formulas or pivot tables?

Confidence intervals

Descriptive Statistics tool

Confidence intervals with the Descriptive Statistics tool

Part III: Using one variable to analyze another

Two variables at a time

Correlation and scattercharts

Regression and shared variance

Regression diagnostics

Understanding regression coefficients

Testing the overall regression with the F ratio

Forecasting with the TREND() function

Part IV: Basic hypothesis testing

Hypothesis testing: single sample z tests

Single sample z tests: Excel’s normal distribution functions

Z tests, alpha and statistical power

Part V: Using the t distribution in Excel

Mean differences and the t distribution

Two-sample t tests Two-sample t tests

Recap of consistency and compatibility functions

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